Importance weighting is a general way to adjust Monte Carlo integration to account for
draws from the wrong distribution, but the resulting estimate can be highly variable when the …

This review aims at assessing the opportunities and challenges of creating and using digital
twins for process industrial systems over their life-cycle in the context of estimation and …

Stimuli are easier to process when context makes them predictable, but does context-based
facilitation arise from preactivation of a limited set of relatively probable upcoming stimuli …

We study the kinematics of the recently discovered Corona Australis (CrA) chain of clusters
by examining the 3D space motion of its young stars using Gaia DR3 and APOGEE-2 data …

Abstract Comparison of competing statistical models is an essential part of psychological
research. From a Bayesian perspective, various approaches to model comparison and …

A significant problem associated with the implementation of Vibration-Based Structural
Health Monitoring (VSHM) systems originates from the detrimental effects caused by …

The outbreak of the severe acute respiratory syndrome coronavirus 2 started in Wuhan,
China, towards the end of 2019 and spread worldwide. The rapid spread of the disease can …

A significant issue that has plagued data-driven Vibration-based Structural Health
Monitoring (VSHM) is the mitigation of Environmental and Operational Variations (EOVs) …